A master's degree in data science is one of many in-demand courses today. Data scientists are in high demand worldwide since it is essential to make successful decisions. This, in combination with the Australian education system, acts as an ultimate win for any student.
Australian universities and colleges offer high-quality education and training in data science as they have active industry and Government collaborations, especially in data science. It also has a pretty promising job market for Data analysts.
Table of Contents
- Why Pursue a Master in Data Science in Australia?
- Popular Master Program in Data Science
- Masters in Data science in Australian Universities
- Eligibility Criteria to Study Masters in Data Science in Australia
- Admission Process - Masters in Data Science
- Cost of Studying Masters in Data Science in Australia
- Scholarships to Study Masters in Data Science in Australia
- Masters in Data Science Jobs & Salary in Australia
- Scope after Study Masters in Data Science in Australia
Why Pursue a Master in Data Science in Australia?
- According to recent reports, Data scientists in Australia earn three times more than the national average salary.
- Indeed, a recent poll conducted by the Institute of Analytics Professionals of Australia (IAPA) indicates that top data scientists in Australia earn almost $300,000 per year.
- Along with this, Australia's leading universities provide high-quality education and accommodation.
- They also offer scholarships, and their collaboration with the government makes them the most affordable master of data science programs.
Popular Master Program in Data Science
Australian universities and colleges provide high-quality education and accommodation facilities. They are also very affordable due to their ties with the government and various scholarships.
Given below are some of the Australian universities along with their Data science courses:
|
Rank |
Institution |
Program |
|
#32 |
University of Melbourne |
Masters in Data Science (2 years) |
|
#40 |
The Australian National University |
Master of Applied Data Analytics* (1.5 years) |
|
#42 |
The University of Sydney |
Master of Data Science (1 year) |
|
#51-100 |
University of New South Wales (UNSW) |
Master of Information Technology (Data Science) (2 years) |
|
#51-100 |
Monash University |
Master of Data Science (1.5-2 years) |
|
#51-100 |
University of Queensland |
Master of Data Science (2 years) |
|
#51-100 |
The University of Technology Sydney |
Master of Data Science and Innovation (2 years) |
|
#101-150 |
RMIT University |
Master of Data Science (2 years) |
|
#101-150 |
The University of Adelaide |
Master of Data Science (2 years) |
|
#101-150 |
Queensland University of Technology (QUT) |
Master of Data Analytics (2 years) |
|
#151-200 |
The University of Western Australia |
Master of Data Science (1.5 years) |
Masters in Data science in Australian Universities
A Master's in data science is one of the top courses in Australia. They provide students with the necessary theoretical and practical knowledge required for a student to gain expertise in data science.
Some of the leading universities, along with their curricula and fees, are listed below:
|
University |
Course |
Fees (AUD) |
|
Monash University |
Masters of Data science |
$ 36,000 |
|
University of New South Wales (UNSW) |
Master of Information Technology (Data Science) |
$ 41,280 |
|
University of Melbourne |
Master of Data Science |
$ 36,474 |
|
University of Queensland |
Master of Data Science |
$ 40,160 |
|
University of Sydney |
Master of Data Science |
$ 40,000 |
|
RMIT University |
Master of Analytics |
$ 26,880 |
|
RMIT University |
Master of Data Science |
$ 30,720 |
|
Queensland University of Technology (QUT) |
Master of Information Technology (Data Science) |
$ 27,600 |
|
University of Technology Sydney (UTS) |
Master of Data Science |
$ 34,160 |
|
University of Western Australia |
Master of Data Science |
$ 37,000 |
|
University of South Australia |
Master of Data Science |
$ 31,500 |
Eligibility Criteria to Study Masters in Data Science in Australia
To get admission to Australian universities and colleges, students must have completed a 4-year undergraduate degree or equivalent in a required field. They also need to give English proficiency exams with an average IELTS score of 6.5 and TOEFL score of 80. Students do not need to provide scores on the GRE or GMAT for getting admission into a master's degree in Data Science.
Given below are the eligibilities criteria for various universities and colleges:
|
Institution Name |
UG Degree Requirement |
English Language Requirements |
Additional Requirements |
|
University of Melbourne |
65% (minimum) in a relevant subject |
IELTS: 6.5 TOEFL: 79 |
Prior knowledge of Computer Programming, Calculus, Linear Algebra |
|
ANU |
Minimum GPA of 5.0/7.0 |
IELTS: 6.5 |
3 years of relevant work experience for non-honours UG degree |
|
The University of Sydney |
A UG degree with honours in a quantitative discipline* with a minimum credit average (65%) |
IELTS: 6.5 |
None |
|
UNSW |
70% |
IELTS: 6.0 |
None |
|
Monash University |
60% |
IELTS: 6.5 |
None |
|
University of Queensland |
Minimum GPA of 5.0 on a 7 point scale |
IELTS: 6.5 |
None |
|
The University of Technology Sydney |
Bachelor's degree, or higher qualification, in a relevant discipline |
IELTS: 7.5 |
At Least three years of professional/industry experience |
|
RMIT University |
GPA of at least 2.0 out of 4.0 in a relevant field |
IELTS: 6.5 |
None |
|
The University of Adelaide |
Minimum GPA of 4.5.* |
IELTS: 6.5 |
None |
|
QUT |
Minimum GPA of 4.0 (on a QUT'7-point scale). |
IELTS: 6.5 |
None |
|
The University of Western Australia |
A bachelor's degree or an equivalent qualification |
IELTS: 6.5 |
None |
Admission Process - Masters in Data Science
To get admission to a master's in data science in any Australian university or college, students must complete any UG program and provide marks for any english proficiency exam. But students do not need to give marks for GRE or GMAT exams.
Given below are some documents that are essential to provide to get admission to Australian universities and colleges:
- Bachelor's / undergraduate degree certificate
- Statement of purpose
- Letter of recommendations
- Curriculum vitae / Resume
- Overseas Students' Health Insurance
- Australian Student Visa
Cost of Studying Masters in Data Science in Australia
The price of studying master's in data science includes the program fees and the cost of living. The program fee and cost of living vary with each college or university.
Given below are the tuition fees and cost of living of various colleges and universities:
|
University |
Program Fees (AUD) |
Cost of Living (AUD) |
|
University of Melbourne |
$71,242 |
$24,000 |
|
ANU |
$48,384 |
$24,422 |
|
The University of Sydney |
$46,000 |
$20,000 |
|
UNSW |
$51,840 |
$23,000 |
|
Monash University |
$33,600 |
$22,000 |
|
University of Queensland |
$90,240 |
$22,000 |
|
UTS |
$79,104 |
$15,000 |
|
RMIT University |
$71,040 |
$23,000 |
|
The University of Adelaide |
$86,000 |
$20,290 |
|
QUT |
$69,400 |
$20,000 |
|
The University of Western Australia |
$78,200 |
$21,000 |
Scholarships to Study Masters in Data Science in Australia
Australian universities and colleges provide various scholarship programs by forming government tie-ups. A student can easily apply for these scholarships if they are eligible. These provide up to 100% rebate along with stipend money.
Given below are a few Australian scholarships for international students can apply for:
|
Scholarship |
Amount (AUD) |
University |
Eligibility |
|
Melbourne School of Engineering Scholarship |
5000 - 20,000 |
University of Melbourne |
High academic excellence is eligible to apply |
|
ANU College of Engineering and Computer Science International Postgraduate Merit Scholarship |
25% rebate on tuition fee |
Australian National University |
Based on the merit, automatically considered |
|
School of Computer Science Master of Data Science Entry Scholarship |
6000 (one-time) |
The University of Sydney |
academic merit, and performance in quantitative subjects |
|
Future of Change Scholarship UGCE1283 |
5000/year |
University of New South Wales (UNSW) |
Indian students demonstrating high academic excellence, automatic consideration, no interview required |
|
Monash International Merit Scholarship |
50000/year |
Monash University |
Meritorious international student |
|
UQ Future Students Postgraduate Scholarship for High Achievers - India |
A rebate of 5000 AUD is offered on the tuition fee for Sem 1 and 2 respectively |
University of Queensland |
Indian students with a GPA of 6.0 on a 7-point scale are eligible to apply |
|
International Postgraduate Coursework Full Tuition Scholarship |
100% rebate on tuition fee |
The University of Technology Sydney |
Meritorious international students |
|
Future Leaders Scholarship |
20% rebate on tuition fee |
RMIT University |
Students from India, Sri Lanka, Bangladesh, Bhutan, Nepal, or Pakistan intending to study UG or PG courses at RMIT |
|
Global Academic Excellence Scholarship (International) |
50% rebate on the tuition fee is granted by the corresponding faculty |
The University of Adelaide |
International students with an ATAR of 98 or 6.8 GPA are eligible |
|
International Merit Scholarship |
25% rebate on the tuition fee |
Queensland University of Technology (QUT) |
Indian Students with CBSE or ICSE certificate: Above 80% in the best 5 subjects |
Masters in Data Science Jobs & Salary in Australia
As mentioned earlier, data science jobs in Australia pay three times more than the national average salary. There is also high demand for data scientists in today's time for making successful business decisions. The salary may also vary with the city.
Data scientists jobs in Australia provide an average salary of AUD 94,970. This can go up to AUD 127,000 for a data scientist with experience. Some popular data science skills that a candidate must have to gain a high salary are machine learning, python, data analysis, and statistical analysis.
Given below are some data science jobs along with their salary:
|
Designation |
Salary Range (AUD/year) |
|
Data Analyst |
50000-99000 |
|
Software Engineer |
55000-111000 |
|
Software Developer |
50000-99000 |
|
Senior Data Analyst |
71000-123000 |
|
Business Analyst (IT) |
57000-111000 |
|
Senior Data Scientist |
71000-123000 |
|
Senior Software Engineer/Developer/Engineer |
77000-134000 |
|
Senior Software Engineer |
81000-140000 |
|
Data Engineer |
61000-134000 |
|
Software Engineer/Developer/Programmer |
51000-104000 |
Scope After Study Masters in Data Science in Australia
After a master's in data science, students get various job opportunities. They can get high-paying jobs not only in Australia but worldwide. The need for data scientists has been increasing worldwide, which has created a significant surge in job opportunities for data science students.
There has been an increase of around 38,000 employees at an average growth of 2.4% per year. It has also been predicted that the Data science workforce in Australia is likely to go from 301,000 individuals in 2016 -17 to 339,000 individuals in 2021 -22.
Thus, data science is an excellent option for all students and must be considered.
Still unclear about anything? Well, not to worry. Contact AECC and get your queries answered today! AECC is one of the world's leading educational consultancies with versatile expert professionals who are ready to help you with any queries you may have. Contact us so we can be of assistance to you in your journey to achieving your dream.
